Agenda
PAWorld26 San Francisco · 23–24 September 2026 · San Francisco
Sessions
09:00 – 09:05
Welcome to PAWorld San Francisco 2026

Workforce intelligence as a business decision system
09:05 – 09:35
Workforce Intelligence as a Business Decision System

Better business decisions through workforce intelligence
09:35 – 10:05
Designing Work for Human-AI Systems


What should humans do, what should AI do, and how should the system work as a whole?
10:05 – 10:35
So you say your AI is having an impact? Prove it.

From adoption signals to evidence of changed work and outcomes
10:35 – 10:45
One Model Keynote Q&A and Transition

Testing what counts as credible evidence of AI impact
10:45 – 11:30
Networking Break
11:30 – 12:10
What It Takes to Change Work with AI

Intel's approach to connecting enterprise direction, local practice and reinforcement
11:30 – 12:10
When the Business Changes but the Workforce Model Doesn't

Using market signals to challenge an inherited workforce operating model
12:10 – 12:20 · No scheduled sessions
12:20 – 12:40
Purpose-Built AI: The Next Evolution of People Analytics

Organizational context, relevant benchmarks and expert judgment for genuinely useful workforce intelligence
12:20 – 13:00
Building a Workforce Intelligence Foundation HR Can Trust


Moving from inherited job architecture towards market-calibrated, governed intelligence about work
12:40 – 13:00
How AI Is Reshaping Organizational Networks

What collaboration data reveals about productivity, adoption, bottlenecks and shrinking networks
13:00 – 14:00
Lunch
13:10 – 13:20
Worklytics Demo

13:25 – 13:35
One Model Demo
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13:40 – 13:50
Paradigm Demo

14:00 – 14:40
When People Analytics Starts Shipping AI Products


What changes when the function builds decision products rather than reports?
14:00 – 14:40
When Hiring Isn't Enough, Redesign the Work

Using task evidence to change roles, workflows and workforce demand
14:40 – 14:50 · No scheduled sessions
14:50 – 15:30
The Two-Week Work-Redesign Sprint

How teams move from AI access to changes in everyday work
14:50 – 15:30
What Workforce Measurement Got Right - and Wrong


A conversation with Jac Fitz-Enz on evidence, value and the next mandate
15:30 – 16:00
Networking Break
15:40 – 15:50
OrgAcuity Demo

16:00 – 16:40
From Business Question to Governed Workforce Data

What repeated HR data rebuilds teach us about infrastructure, shared metrics and AI readiness
16:00 – 16:20
Buying the Software Is Not Buying the Outcome - I

The hidden organisational work behind successful People Analytics technology
16:20 – 16:40
Buying the Software Is Not Buying the Outcome - II

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What workforce technology buyers still need to own – tested against practitioner reality
16:40 – 16:50 · No scheduled sessions
16:50 – 17:30
When AI Saves Time, What Should Happen Next?
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Reinvest, redesign, redeploy or reduce?
16:50 – 17:30
Where Should We Double Down?

Using workforce, market, cost and risk evidence to make global location decisions
17:30 – 18:30
